Automated Speech Emotion Recognition App Development on Smart Phones using Cloud Computing
Journal Title: International Journal of engineering Research and Applications - Year 2018, Vol 8, Issue 5
Abstract
Speech Emotion Recognition (SER) has become a major endeavor in Human-Computer Interaction (HCI) and speech processing. Accurate SER is essential for many applications, such as assessingcustomer satisfaction with the quality of services and detecting/assessing the emotional state of children in care. The large number of studiespublished on SER reflects the demand for its use. In thispaper, the proposed system presents a novelmethod of speech recognition based on the cloud model, in combination with the traditional speech emotion system. The process of predictingemotionsfrom speech emotion audio files containsseveral stages. The first stage of this system is the pre-processing stage, whichisapplied by detecting the speech in an audio file and thenreducing the noise. The second stage involvesextractingfeaturesfrom speech emotion files using the Melfrequency cepstral coefficient (MFCC) feature extraction algorithms. This generates the training and testingdatasetsthatcontain the emotions of Anger, Disgust, Fear, Happiness, Neutral, Sadness, and Surprise. Support Vector Machine (SVM) classifiers are thenused for the classification stage in order to predict the emotion. In addition, a Confusion Matrix (CM) technique isused to evaluate the performance of theseclassifiers. The proposed system istested on SAVEEand RMLdatabases and achieved a prediction rate of 95.3%
Authors and Affiliations
Humaid Alshamsi, Veton Kepuska, Hazza Alshamisi
Keywords
Related Articles
- EP ID EP394198
- DOI 10.9790/9622-0805027177.
- Views 110
- Downloads 0
Comparative Analysis of Pso-Pid and Hu-Pid
PID control is an important ingredient of a distributed control system. The controllers are also embedded in many special purpose control systems. PID control is often combined with logic, sequential functions, selectors...
Caline–4 Model Validation in the Nearfield of Bahadur Shah Zafar Marg, New Delhi, India
Rapid growth in the number of vehicles and vehicle activity makes this particularly true in cities in developing countries. It is generated due to incomplete combustion of the fuel in automobiles. It is observed to be as...
Predicting The Mode Of Transportation Using GPS Data, For Vehicular Carbon Footprint Determination
Greenhouse gas emissions by vehicles is damaging the environment. In order to take remedial measures at individual level, one must first know the full scale of damage being done. This study suggests that using GPS data f...
Ground Water Quality Assessment In Satna District(M.P)
Natural water is one of the most important substance for the maintenance of life. It was called “a primary source of all that exist” by an anciently Greek philosopher Thales of Miletus 2,600 years ago. water is the one o...
Efficient Data Integrity Algorithm for Outsourced Data in Cloud Environment
With The Rapid Advances In Communication Services And Increasing Growth In Outsourcing Of Data To Cloud Environment; Concerns Of Data Integrity Of Outsourced Data Is On The Rise. The Evidence Of Data Integrity Being Tamp...